Manager, Technical Program Manager, GenAI Safety, DeepMind

Google LLC; Mountain View (CA); On-site; USD 256,000 - 278,000; Full time

Benefits offered by this job

Equity

Bonus target 20%

Job summary

Google DeepMind in Mountain View, CA, is seeking a Manager, Technical Program Manager for GenAI Safety. You will lead complex, multi-disciplinary engineering programs, plan requirements with internal customers, and shepherd projects through the entire lifecycle from concept to delivery.

Your role blends technical leadership with program management across safety-focused initiatives. You will coordinate across teams handling model training, evaluation, and safety alignment, while communicating

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• 5 years of leadership roles, with/without direct reports.

Responsibilities

• Drive end-to-end delivery of GenAI Safety programs and related initiatives, ensuring on-time execution and quality.
• Coordinate cross-functional teams across Gemini Release, Model Behavior, and Multi-turn research to align plans and timelines.
• Engage with researchers and engineers on safety evaluations, loss functions, and trade-offs to deliver credible solutions.
• Surface blockers and drive tooling improvements to support research and execution, with executive-level communication.

Skills

Program management

Leadership experience

Education

Bachelor's degree (technical) or equivalent

Job description

Manager, Technical Program Manager, GenAI Safety, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor's degree in a technical field, or equivalent practical experience.


• 8 years of experience in program management.


• 5 years of experience in leadership roles with/without direct reports.

Preferred qualifications:

• Track record executing fast-paced programs and consistently delivering on schedule, even under shifting priorities and tight deadlines, partnering with engineering and product stakeholders.


• Strong grounding in ML/AI principles, with a clear understanding of how model development differs from traditional software engineering practices, including evaluation, data, and iteration cycles.


• Skilled at translating complex technical concepts into clear, compelling, actionable narratives for audiences, including executive leadership, cross-functional partners, and non-technical stakeholders.


• Ability to communicate in English fluently and comfortable working flexibly across global time zones; deeply committed to advancing AI safety and continually deepening subject-matter expertise in the field.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

GenAI Safety works on preventing user harm from GenAI models, including but not limited to Gemini itself. We train and evaluate the models, red team them, and also work on related technology such as monitoring and data pipelines.

As a Senior Technical Program Manager for AI Safety within the Safety and Behavior Technical Program Manager (TPgM) team, you will serve as the core operational orchestrator ensuring our Gemini models are safe, robust, and aligned. In this role, you will define and execute the operational strategy for GenAI Post-Training, bridging the gap between research and production-scale delivery. Your scope spans coordinating large-scale model training and evaluation infrastructure to driving a broad portfolio of frontier AGI safety and alignment initiatives.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits

• Drive end-to-end delivery of SFT and RL training data for AI Safety, establishing durable project structures, clear milestones, quality bars, and operating rhythms that ensure consistent on-time execution.


• Manage a broad portfolio spanning near-term model development through long-term AGI Safety and Alignment research, balancing shipping urgency against foundational scientific investment, and sequencing work so both near-term launches and long-horizon research progress.


• Coordinate cross-functionally across Gemini Release, Model Behavior, and Multi-turn research teams, aligning stakeholders on shared plans, dependencies, and timelines, and building consensus without direct authority.


• Engage deeply with technical detail, including safety evaluations and loss functions, to ensure accurate measurement, sound tradeoffs, and credible solution development alongside researchers and research engineers.


• Surface blockers, streamline execution, drive tooling improvements that unblock research and engineering teams, and manage high-visibility executive reviews with crisp, decision-ready communication.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.